From Gutenberg to the Global Information Infrastructure is a research paper published in The MIT Press eBooks (2000). On theSindex it has a DataRank of 0.814. It has been cited 227 times.
Will the emerging global information infrastructure (GII) create a revolution in communication equivalent to that wrought by Gutenberg, or will the result be simply the evolutionary adaptation of existing behavior and institutions to new media? Will the GII improve access to information for all? Will it replace libraries and publishers? How can computers and information systems be made easier to use? What are the trade-offs between tailoring information systems to user communities and standardizing them to interconnect with systems designed for other communities, cultures, and languages? This book takes a close look at these and other questions of technology, behavior, and policy surrounding the GII. Topics covered include the design and use of digital libraries; behavioral and institutional aspects of electronic publishing; the evolving role of libraries; the life cycle of creating, using, and seeking information; and the adoption and adaptation of information technologies. The book takes a human-centered perspective, focusing on how well the GII fits into the daily lives of the people it is supposed to benefit. Taking a unique holistic approach to information access, the book draws on research and practice in computer science, communications, library and information science, information policy, business, economics, law, political science, sociology, history, education, and archival and museum studies. It explores both domestic and international issues. The author's own empirical research is complemented by extensive literature reviews and analyses.
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Base Score Contribution
0.814
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.